The impact of ocean‐wave coupling on the upper ocean circulation during storm events

Bruciaferri, D.; Tonani, M.; Lewis, H. W.; Siddorn, J. R. ORCID: https://orcid.org/0000-0003-3848-8868; Saulter, A.; Castillo Sanchez, J. M.; Valiente, N. G.; Conley, D.; Sykes, P.; Ascione, I.; McConnell, N.. 2021 The impact of ocean‐wave coupling on the upper ocean circulation during storm events. Journal of Geophysical Research: Oceans, 126 (6). https://doi.org/10.1029/2021JC017343

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Abstract/Summary

Many human activities rely on accurate knowledge of the sea surface dynamics. This is especially true during storm events, when wave-current interactions might represent a leading order process of the upper ocean. In this study, we assess and analyze the impact of including three wave-dependent processes in the ocean momentum equation of the Met Office North West European Shelf ocean-wave forecasting system on the accuracy of the simulated surface circulation. The analysis is conducted using ocean currents and Stokes drift data produced by different implementations of the coupled forecasting systems to simulate the trajectories of surface (iSphere) and 15 m drogued (SVP) drifters affected by four storms selected from winter 2016. Ocean and wave simulations differ only in the degree of coupling and the skills of the Lagrangian simulations are evaluated by comparing model results against the observed drifter tracks. Results show that, during extreme events, ocean-wave coupling improves the accuracy of the surface dynamics by 4%. Improvements are larger for ocean currents on the shelf (8%) than in the open ocean (4%): this is thought to be due to the synergy between strong tidal currents and more mature decaying waves. We found that the Coriolis-Stokes forcing is the dominant wave-current interaction for both type of drifters; for iSpheres the secondary wave effect is the wave-dependent sea surface roughness while for SVPs the wave-modulated water-side stress is more important. Our results indicate that coupled ocean-wave systems may play a key role for improving the accuracy of particle transport simulations.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1029/2021JC017343
ISSN:	2169-9275
Date made live:	08 Jul 2021 12:25 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/530644

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